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Audit Data Scientist

72% Flex
Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Bachelor’s degree in Data Science, Statistics, Computer Science, or related field, Proficiency in Python, R, SQL, ACL, PowerBI or Tableau.

Key responsabilities:

  • Provide analytic support at all audit stages
  • Conduct data analysis and visualization
  • Lead data projects and collaborate effectively
Logistics Management Institute logo
Logistics Management Institute Large https://www.lmi.org/
1001 - 5000 Employees
See more Logistics Management Institute offers

Job description

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Your missions

Overview:

LMI is seeking for a Audit Data Scientist to provide data analytic support for NASA OIG audit projectshroughout the Research, Survey, Fieldwork, Reporting, and Post Audit Activity phases. This includes offering analytic consultation, supporting data acquisition, conducting analysis and visualization, and delivering project management to enhance audit processes.

 

LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.  

 

LMI has been named a 2024 #TopWorkplace in the BuiltIn Workplaces! We are honored to be recognized as a company that values a people-centered culture, and we are grateful to our employees for making this possible!  

Responsibilities:
  • Provide expert analytic consultation and solutioning services to support OIG audit projects.
  • Collaborate with data owners and suppliers to acquire and maintain necessary data.
  • Conduct reliability and validity assessments on data sets to ensure integrity.
  • Perform exploratory data analysis and data mining to extract meaningful insights.
  • Produce comprehensive reports and visualizations to support audit findings.
  • Utilize programming languages such as Python, R, or ACL for data analysis and automation.
  • Develop dashboards and visualizations using tools like PowerBI or Tableau.
  • Employ database and automation tools (e.g., SQL, Alteryx) to streamline data processes.
  • Design and conduct survey research as part of the audit process.
  • Work closely with subject matter experts to integrate data findings into audit reports.
  • Write and edit report sections related to data analytics, including infographics and storytelling elements.
  • Lead data analytic projects, ensuring timely delivery and quality of outputs while fostering effective collaboration with colleagues, partners, and stakeholders.
Qualifications:

Minimum:

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field.
  • Proficiency in data analytics tools and programming languages (e.g., Python, R, SQL, ACL).
  • Experience with data visualization platforms such as PowerBI or Tableau.
  • Proven experience in data analytics, preferably in an audit or IG environment.
  • Familiarity with cloud environments for performing data analytics.
  • Strong analytical and problem-solving skills with a focus on delivering innovative solutions.
  • Excellent written and verbal communication skills.

Preferred:

  • Master’s degree in a relevant field.
  • Relevant certifications in data analytics or audit (e.g., Certified Data Analyst, Certified Internal Auditor).
  • Experience using Audit Command Language (ACL)
  • Prior experience working in a government or audit setting.
  • Advanced skills in data automation and database management.
  • Experience in developing complex dashboards and data visualization solutions.
  • Ability to effectively communicate complex data concepts to non-technical stakeholders.
  • Strong organizational skills and attention to detail.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • verbal-communication-skills
  • Relationship Building

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